{"id":"W3209112761","doi":"","title":"Canada's next uranium hot spot - Labrador's Central mineral belt","year":2006,"lang":"en","type":"article","venue":"Canadian mining journal","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Uranium; Geochemistry; Geology; Mining engineering; Mineral; Hot spot (computer programming); Archaeology; Geography; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002094899,0.0001778248,0.0001691239,0.0001103152,0.0004734975,0.0003985614,0.0008266731,0.00008524545,0.0002162693],"category_scores_gemma":[0.00009825009,0.0001801492,0.00005758389,0.0003308011,0.00003985421,0.0002709311,0.00004493797,0.000350145,0.000006000005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004662519,"about_ca_system_score_gemma":0.005302154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9432224,"about_ca_topic_score_gemma":0.9883833,"domain_scores_codex":[0.9981357,0.0000450258,0.0002866556,0.0002611027,0.0002653046,0.001006141],"domain_scores_gemma":[0.9985346,0.00004109528,0.0001199968,0.0002661218,0.000164506,0.0008737324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006791349,0.00001976097,0.01721563,0.00001708296,0.00003900912,0.005236891,0.0005037292,0.002974398,0.0018332,0.004929311,0.9486213,0.01860284],"study_design_scores_gemma":[0.0004714282,0.00003431463,0.0998337,0.00005843468,0.00001081942,0.003190065,0.0002132655,0.00597648,0.0006210056,0.000554024,0.888545,0.0004914743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.869951,0.0009667027,0.004081354,0.05519241,0.003775844,0.000137842,0.00004125734,0.00008238163,0.06577118],"genre_scores_gemma":[0.9871397,0.000003524267,0.004562268,0.001688101,0.0009112486,0.000001286671,0.000011369,0.000005014436,0.005677486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1171887,"threshold_uncertainty_score":0.9405793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009570574298557547,"score_gpt":0.1769746299326817,"score_spread":0.1674040556341242,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}